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I am a senior AI/ML engineer and Python developer with 10+ years of experience designing and deploying production-grade Generative AI platforms, enterprise RAG systems, and end-to-end MLOps pipelines across banking, pharmaceutical, retail, healthcare, and telecom domains. I specialize in building multi-agent AI architectures using LangChain, LangGraph, and LlamaIndex, orchestrating LLMs (OpenAI GPT-4, AWS Bedrock, Llama, Mistral, Hugging Face Transformers) for document intelligence, conversational AI, and regulatory automation. I also focus on latency reduction, grounding accuracy, and secure, scalable deployment across on-cloud and on-prem environments.…I am a senior AI/ML engineer and Python developer with 10+ years of experience designing and deploying production-grade Generative AI platforms, enterprise RAG systems, and end-to-end MLOps pipelines across banking, pharmaceutical, retail, healthcare, and telecom domains. I specialize in building multi-agent AI architectures using LangChain, LangGraph, and LlamaIndex, orchestrating LLMs (OpenAI GPT-4, AWS Bedrock, Llama, Mistral, Hugging Face Transformers) for document intelligence, conversational AI, and regulatory automation. I also focus on latency reduction, grounding accuracy, and secure, scalable deployment across on-cloud and on-prem environments.

Amarnath Galaba

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am a senior AI/ML engineer and Python developer with 10+ years of experience designing and deploying production-grade Generative AI platforms, enterprise RAG systems, and end-to-end MLOps pipelines across banking, pharmaceutical, retail, healthcare, and telecom domains. I specialize in building multi-agent AI architectures using LangChain, LangGraph, and LlamaIndex, orchestrating LLMs (OpenAI GPT-4, AWS Bedrock, Llama, Mistral, Hugging Face Transformers) for document intelligence, conversational AI, and regulatory automation. I also focus on latency reduction, grounding accuracy, and secure, scalable deployment across on-cloud and on-prem environments.…I am a senior AI/ML engineer and Python developer with 10+ years of experience designing and deploying production-grade Generative AI platforms, enterprise RAG systems, and end-to-end MLOps pipelines across banking, pharmaceutical, retail, healthcare, and telecom domains. I specialize in building multi-agent AI architectures using LangChain, LangGraph, and LlamaIndex, orchestrating LLMs (OpenAI GPT-4, AWS Bedrock, Llama, Mistral, Hugging Face Transformers) for document intelligence, conversational AI, and regulatory automation. I also focus on latency reduction, grounding accuracy, and secure, scalable deployment across on-cloud and on-prem environments.

Available to hire

I am a senior AI/ML engineer and Python developer with 10+ years of experience designing and deploying production-grade Generative AI platforms, enterprise RAG systems, and end-to-end MLOps pipelines across banking, pharmaceutical, retail, healthcare, and telecom domains.

I specialize in building multi-agent AI architectures using LangChain, LangGraph, and LlamaIndex, orchestrating LLMs (OpenAI GPT-4, AWS Bedrock, Llama, Mistral, Hugging Face Transformers) for document intelligence, conversational AI, and regulatory automation. I also focus on latency reduction, grounding accuracy, and secure, scalable deployment across on-cloud and on-prem environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Engineer (Python) at M&T Bank

June 1, 2024 - Present

Enterprise AI platform for intelligent document processing, regulatory compliance automation, and knowledge intelligence across Retail and Commercial Banking divisions. Architected and deployed enterprise RAG pipelines processing 500K+ loan documents, compliance manuals, and regulatory filings, reducing manual document review time by 60% by leveraging LangChain, LangGraph, FAISS, Pinecone, and AWS Bedrock with metadata-filtered vector retrieval. Designed and implemented data guardrail frameworks with pre-processing, PII redaction, PHI filtering, DLP integration, and prompt injection defenses; built Model Armor components, including input validation & sanitization, harmful content detection, toxicity filters, policy enforcement, output filtering, fact-checking, and grounding checks, reducing policy violations by 96%. Architected production-grade agentic AI systems using LangGraph featuring planning, memory, tool selection, task routing, retrieval, compliance reasoning, and autonomous wo

Senior AI/ML Engineer (Python) at AbbVie

August 1, 2022 - May 1, 2024

Enterprise Generative AI platform for clinical research, pharmacovigilance, and regulatory intelligence enabling scientific document search, adverse event summarization, and conversational AI assistants. Architected enterprise-grade RAG pipelines processing 2M+ clinical documents (PDFs, study reports, regulatory submissions) using LangChain, FAISS, Pinecone, and Amazon OpenSearch, reducing research document retrieval time from hours to seconds. Integrated multiple LLMs (AWS Bedrock, OpenAI API, open-source Llama/Mistral via Hugging Face) for scientific Q&A, medical summarization, and intelligent document comparison, achieving 91% factual accuracy on pharmacovigilance benchmarks. Built a secure internal communication platform in Java and Spring Boot serving 10,000+ employees, reviewed peer-submitted code for accuracy, security best practices, and test coverage, catching critical vulnerabilities before production release. Built production NLP pipelines using PyTorch, Transformers, and sp

AI/ML Engineer (Python) at McKesson

June 1, 2021 - April 1, 2022

Enterprise retail analytics and intelligent inventory forecasting platform supporting warehouse operations, merchandising, and e-commerce fulfillment across 600+ U.S. warehouse locations. Developed scalable backend APIs using Python, FastAPI, and Flask exposing demand forecasting results, inventory analytics, and SKU-level metrics to 8 internal business applications, serving 50K+ daily API requests with 99.9% uptime. Delivered a scalable, reusable RESTful API web service with a React front-end and Python FastAPI back-end, ensuring fault-tolerant client-server communication with HTTP protocols and increasing data retrieval efficiency. Crafted responsive UI using JavaScript, React, Tailwind CSS, and Redux with HTML for state management, implementing cross-browser compatibility through BrowserStack, and ensuring stateless UI components within a 3-tier architecture. Trained and deployed demand forecasting models using Scikit-learn, XGBoost, and TensorFlow achieving 92% forecast accuracy at

Software Developer (Python) at Next Big Technologies

October 1, 2016 - July 1, 2020

Built RESTful APIs using Python, Django, and Django REST Framework supporting campaign management, customer segmentation, and user activity tracking modules serving 500K+ active users. Created high-throughput background task pipelines using Celery with Redis and RabbitMQ, scheduling 1M+ bulk notifications and campaign workflows monthly with 99.8% delivery rate. Designed normalized database schemas and optimized complex PostgreSQL queries supporting dynamic filtering, segmentation, and reporting dashboards, reducing query execution time by 55%. Crafted responsive UI using JavaScript, React, Tailwind CSS, and Redux with HTML for state management, implementing cross-browser compatibility through BrowserStack, and ensuring stateless UI components within a 3-tier architecture. Wrote comprehensive PyTest suites achieving 85% code coverage, and monitored system health using ELK Stack maintaining 99.5% uptime. Implemented end-to-end CI/CD workflows using Jenkins, GitHub Actions, and AWS CodePi

Software Developer at GeekyAnts

August 1, 2013 - September 1, 2016

Developed backend components handling PNR data and flight schedule updates for a reservation system processing 100K+ daily booking transactions across 20+ airline clients. Created REST-based service endpoints for airline portals and airport applications supporting real-time seat availability and fare calculation with sub-second response times. Wrote optimized SQL queries, stored procedures, and complex joins across Oracle and PostgreSQL databases (500M+ records), improving booking completion rates by 15% during peak periods. Supported payment gateway integration processing $50M+ monthly transaction volume with PCI-DSS compliance; automated batch flight schedule sync and ticket reconciliation workflows.